Lead a 65-person global product, engineering, and analytics org responsible for setting long term strategy and product and data roadmaps for 1) WW video and metadata ingestion, enhancement, publishing, content quality, localization, and 2) WW content Trust & Safety maturity ratings/content descriptor and video content policy definition and reviews. Team relies heavily on AI and Large Language Models to automate, detect and correct, particularly in Localization, Trust & Safety, and Quality. Defined and built Title Importance Service, improving On Time Publishing for 80% stream weighted incoming titles to 99% Built LLM-based video scene analysis and understanding for maturity ratings/content descriptors, automating the reviews and ratings of 33% of incoming titles in 2025 with a projection of 80% in 2026 Own three Tier 1 APIs with 99% uptime, for distributing PV catalog data to external partners (e.g., HBO, Paramount +), internal partners (e.g., Search, Personalization), and Living Room Devices (e.g., Fire TV, Roku) Defined baselines, metrics, and built ML models to detect and correct quality issues, meeting goals for 1) 90% Localization Consistency 2) 98% Series Quality, and 3) 97% Duplicate Elimination Launched Proof of Concept low-cost, AI-automated Dubbing in two high-cost languages pairs delivering 29K incremental streaming hours per month

Built and led a 135-person global product, engineering, training, program, data engineering and analytics org that built product and programs that measured and developed WW Customer Service Associate performance from new hire through lifetime employment. Built rolling 3-year and annual strategies and roadmaps for WW Training and our ML-driven WW Performance Management Platform and created, baselined and measured KPIs for Associate Success. Built Inspire, a Performance Management Platform using ML models to baseline, measure, and deliver Customer and Delivery Associate performance and feedback, reducing Manager support by 2 hours per Associate per week Developed feedback, rewards, kudos, and suggested supplemental training based on performance in Inspire, improving Job Satisfaction scores from 2.6 to 3.5 (from 1-5) Developed Self-Directed New Hire Training, cutting onboarding time for New Hires from 73 to 63 days

Built and led a 75-person global product, engineering, and UX design org driving EU-first product development and delivery to first support EU5 & Turkey businesses then scale to Rest of World (RoW). Set rolling 3-year and annual Product and Engineering strategies and built WW shared roadmaps with Amazon partner teams around the world. Delivered Global Customer Reviews on Detail Pages in emerging markets, delivering US-level Detail Page conversion (10-15%). Delivered Amazon Kids, Amazon's first off-Kindle Retail experience for Kids in 3 countries Improved Search and Navigation with multiple features first in EU, then RoW, driving incremental 2-11% conversion rates world-wide Launched Scheduled Furniture Delivery, expanding product catalog and logistics capabilities first in EU and then RoW

Credential ID: Amazon, Director European Customer Experience, Luxembourg Top 50 Women In Product Management In Europe, 2019